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1.
Brazzaville; WHO Regional Office for Africa; 2022. 232 p. figures, tables.
Monography in English | AIM | ID: biblio-1401244

ABSTRACT

The population of the World Health Organization's (WHO) African Region was estimated to be 1 120 161 000 in 2020 and about 14.4% of the world's population of 7 758 157 000. It was 8 billion in 20211 . It is the third largest population among the WHO regions after South-East Asia and the Western Pacific. Between 2019 and 2020, the population differential was equivalent to that of a state of more than 28 million inhabitants. The five most populated countries account for more than 45% of the Region's population. Among these, Nigeria and the Democratic Republic of the Congo represent about 50% of the population of the West African and Central African subregions, respectively, and Ethiopia represents about 20% of the population of the East and Southern Africa subregions. The average annual population growth in Africa was 2.5% in 2020. If the heterogeneity of the population growth between the regions of the world and between countries in the same subregion is considered, countries from and East and Southern Africa subregions seem to have lower population growth rates than countries in other large subregions, which show significantly higher increases. The current population density of Africa is low, estimated to be 36 inhabitants per km2 for the whole continent. However, many areas are uninhabitable and some countries have relatively large populations. High population density is a concern that must be addressed through policies, because it could generate surges and high concentrations of populations in mega cities and urban slums, which can be an issue when it comes to accessing various qualitative services. Gross domestic product (GDP) reflects a country's resources and therefore its potential to provide access to services to its people, particularly health services. This dynamic creates a circle, with healthier people going to work and contributing to the production of wealth for the benefit of the country. The most vulnerable people live from agriculture in rural areas, or in conflict-affected states. Difficulties in accessing health services, low education and inequalities between men and women are additional obstacles to poverty reduction. The population of sub-Saharan Africa is expected to almost double over the next three decades, growing from 1.15 billion in 2022 to 2.09 billion in 2050. The world's population is expected to grow from 7.94 billion at present to 8.51 billion in 2030 and 9.68 billion in 2050. The demographic dividend2 for African countries will emanate from the acceleration of economic growth following a de crease in fertility with a change in the structure of the age pyramid where the active population, that is those aged 18­65 years, will be more important, reaching a certain optimum to make positive the ratio between the population able to finance health and education systems and the population that benefits from these systems. This is the human capital for development at a given moment. The demographic dividend appears to be an opportunity and an invitation to action, but it is also a real challenge, that of creating sustainable jobs to generate the development to activate the economic growth lever.


Subject(s)
Humans , Male , Female , Health Statistics , Health Status Indicators , Atlas , Africa , Health Information Systems , Data Analysis , World Health Organization , Mortality , Statistics , Health Planning
3.
Brazzaville; World Health Organization. Regional office for Africa; 2022. xii, 31 p. figures, tables.
Monography in English | AIM | ID: biblio-1401336
5.
6.
Monography in English | AIM | ID: biblio-1275701

ABSTRACT

The methodology used for data collection was cluster ananlysis. Using the criterion of localities with population of 5;000 or more as urban; and those with less as rural; 30 urban clusters were chosen from Magburaka town (Kholifa Rowalla Chiefdom); Masingbe town (Kunike Sanda Chiefdom) and Mile 91 (Yoni Chiefdom); and thirty rural clusters from all eleven chiefdoms in the district. 20 households were surveyed in each cluster giving a total of 600 urban and 600 rural households surveyed


Subject(s)
Cluster Analysis , Data Collection , Health Statistics , Health Surveys , Primary Health Care
7.
Monography in English | AIM | ID: biblio-1275702

ABSTRACT

"The usual methodology; cluster sampling; was used for the collection of data in the field. 30 urban clusters were selected from Kenema Town; Tongofield (Tokoombu; Kpandebu; and Lowoma); rural clusters were spread over all the sixteen chiefdoms (i.e. including the rural areas of chiefdoms from which urban clusters were selected). Towns with population of 5;000 or more were designated ""urban"" and all other localities (i.e. with a population less than 5;000) were ""rural"". 20 households were surveyed in each cluster. Thus a total of 600 urban and 600 rural households were surveyed. These households had 3;980 and 4;371 persons in the urban and rural clusters respectively"


Subject(s)
Cluster Analysis , Data Collection , Health Statistics , Health Surveys , Primary Health Care
9.
Non-conventional in Portuguese | AIM | ID: biblio-1276421

ABSTRACT

Aumento das actividades em todas as componentes (partos; vacinacao; SMI e consultas externas). O internamento manteve-se estacionario. Coberturas e utilizacao de servicos (US's/habitante): as mais altas em Maputo Cidade; Gaza e Inhambane e as mais baixas em Zambezia; Cabo Delgado e Tete. Quebras vacinais: as melhores sao Inhambane; Maputo Cidade e Maputo Provincia e as piores sao de Niassa; Tete e Nampula. Disponibilidade de recursos: os desiquilibrios reduziram na maioria das provincias no periodo de 2003 a 2004. Persistem ainda desequilibrios; sobretudo nas provincias de Cabo Delgado; Tete e Maputo; onde houve um ligeiro aumento do indice de iniquidade. Consumo de servicos e produtividade dos profissionais de saude: elevada produtividade e consumo de servico (Maputo e Gaza). Consumo elevado e baixa produtividade profissional (Zambezia; Nampula; Inhambane; Manica; Tete e Cabo Delgado)


Subject(s)
Health Statistics
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